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Checked 2026-09-27 · unchanged since 2026-08-21RSS

Export Controls

Chip Classification

Export controls on AI chips and computing infrastructure, with designation records and semiconductor trade data.

17 of 35 tracked accelerators are restricted for China

Dense FP16/BF16 throughput and memory bandwidth for AI accelerators, alongside regulatory thresholds and recorded China export status.

Select a mark or choose a name to read its specifications and classification.

17

Restricted

Recorded as restricted for China under a cited control action.

3

Case-by-Case Review

Licence required, reviewed case by case, with conditions attached.

1

Designed Compliant

Designed to meet export-control thresholds.

4

Domestic (China)

Chinese-designed accelerators; US export controls can still apply.

10

Unassessed

No China export classification is recorded for these chips.

12

Estimated specifications

Dashed outlines in the charts and a tilde in the table mark estimated specifications.

6

Control actions in this dataset, 2022–2026.

20 of 23 plotted chips meet the 4,800 TPP threshold at 16 bits.

3 chips report interconnect bandwidth below the October 2022 criterion of 600 GB/s (A800, H800 SXM5, H800 PCIe). Interconnect is a separate measure from the memory bandwidth on the vertical axis; the October 2023 update dropped the criterion.

Dense FP16/BF16 compute and memory bandwidth, on logarithmic axes. Concentric circles share the same values on both axes; arrows run from a parent chip to its compliance variant.

The horizontal line marks 6,500 GB/s memory bandwidth, cited in the classification entries for B100, B200. The vertical line translates ECCN 3A090.a.1’s 4,800 TPP threshold into dense 16-bit throughput (300 TFLOPS, 88 FR 73458).

The left margin holds 6 chips with memory bandwidth but no dense FP16/BF16 specification; 5 have FP8 specifications. The bottom margin holds 2 with compute but no memory bandwidth (H800 SXM5, H20E (HBM3E refresh)). 4 chips cannot be plotted. B30A, Huawei Ascend 910D have neither specification. Cerebras WSE-3 reports wafer-scale compute and on-wafer SRAM bandwidth; Tenstorrent Wormhole n300 reports two-chip board totals. Those figures are excluded from the per-die comparison plotted here.

7 of the 8 tracked accelerators at or above 6,500 GB/s memory bandwidth are recorded as restricted for China. Among the chips plotted here, the highest published dense FP16/BF16 throughput for a Chinese domestic accelerator is 900 TFLOPS, compared with 4,000 TFLOPS across all vendors.

6 of the 35 tracked accelerators were designed as compliance variants of existing chips. A800 / A100 SXM and H800 PCIe / H100 PCIe overlap because each pair publishes the same compute and memory bandwidth. For example, H20 SXM has 148 dense TFLOPS compared with 989.5 for H100 SXM5. Its memory bandwidth rose from 3,350 to 4,000 GB/s.

Chart data

ChipVendorChina statusDense FP16/BF16Mem BW
NVIDIA Rubin GPU ~NVIDIARestricted4,00022,000
AMD Instinct MI355XAMDRestricted2,516.68,000
MI350XAMDRestricted2,309.68,000
B200NVIDIARestricted2,2508,000
Gaudi 3IntelRestricted1,8353,700
B100NVIDIARestricted1,7508,000
MI300XAMDRestricted1,307.45,300
MI325XAMDCase-by-Case Review1,307.46,000
H100 SXM5NVIDIARestricted989.53,350
H800 SXM5 ~NVIDIARestricted989.5—
H200 SXMNVIDIACase-by-Case Review989.54,800
Google TPU v6e (Trillium)GoogleUnassessed9181,638
Huawei Ascend 920 ~HuaweiDomestic (China)9004,000
H100 NVLNVIDIARestricted835.53,938
Huawei Ascend 910C ~HuaweiDomestic (China)7803,200
H100 PCIeNVIDIARestricted7562,000
H800 PCIeNVIDIARestricted7562,000
Google TPU v5pGoogleUnassessed4592,575
Ascend 910B ~HuaweiDomestic (China)3751,600
A100 SXMNVIDIARestricted3122,039
A800NVIDIARestricted3122,039
Google TPU v4GoogleUnassessed2751,200
TPU v5eGoogleUnassessed197819
H20 SXM ~NVIDIACase-by-Case Review1484,000
H20E (HBM3E refresh) ~NVIDIAUnassessed148—
AMD Instinct MI400 ~AMDRestricted—19,600
AWS Trainium3 ~AmazonUnassessed—4,900
B30A ~NVIDIADesigned Compliant——
Gaudi 2 ~IntelRestricted—2,450
Google TPU v7 (Ironwood)GoogleUnassessed—7,370
Huawei Ascend 910D ~HuaweiDomestic (China)——
NVIDIA B300NVIDIARestricted—8,000
Tenstorrent Blackhole p150TenstorrentUnassessed—512
Cerebras WSE-3 · Wafer-scale system; not plottedCerebrasUnassessed—21,000,000
Tenstorrent Wormhole n300 · Two-chip board totals; not plottedTenstorrentUnassessed131576

ReadingDense FP16/BF16 compute is in TFLOPS; memory bandwidth is in GB/s. Board and wafer-scale totals appear last, outside the per-chip throughput ordering.

Explore a different TPP threshold

Total Processing Performance (log) →10k100kECCN 3A090.a.1 threshold: TPP 4,800TPP 4,800 · 3A090.a.1H20 SXM (NVIDIA) · TPP 2,368 on the FP16 basis · estimated specification · Case-by-Case ReviewH20E (HBM3E refresh) (NVIDIA) · TPP 2,368 on the FP16 basis · estimated specification · UnassessedTPU v5e (Google) · TPP 3,152 on the BF16 basis · UnassessedGoogle TPU v4 (Google) · TPP 4,400 on the BF16 basis · UnassessedA100 SXM (NVIDIA) · TPP 4,992 on the FP16 basis · RestrictedA800 (NVIDIA) · TPP 4,992 on the FP16 basis · RestrictedTenstorrent Blackhole p150 (Tenstorrent) · TPP 5,312 on the FP8 basis · UnassessedAscend 910B (Huawei) · TPP 6,000 on the FP16 basis · estimated specification · Domestic (China)Google TPU v5p (Google) · TPP 7,344 on the BF16 basis · UnassessedH100 PCIe (NVIDIA) · TPP 12,104 on the FP8 basis · RestrictedH800 PCIe (NVIDIA) · TPP 12,104 on the FP8 basis · RestrictedHuawei Ascend 910C (Huawei) · TPP 12,480 on the BF16 basis · estimated specification · Domestic (China)H100 NVL (NVIDIA) · TPP 13,368 on the FP16 basis · RestrictedB30A (NVIDIA) · TPP 14,000 on the FP8 basis · estimated specification · Designed CompliantHuawei Ascend 920 (Huawei) · TPP 14,400 on the BF16 basis · estimated specification · Domestic (China)Google TPU v6e (Trillium) (Google) · TPP 14,688 on the BF16 basis · UnassessedH100 SXM5 (NVIDIA) · TPP 15,832 on the FP16 basis · RestrictedH800 SXM5 (NVIDIA) · TPP 15,832 on the FP16 basis · estimated specification · RestrictedH200 SXM (NVIDIA) · TPP 15,832 on the FP16 basis · Case-by-Case ReviewAWS Trainium3 (Amazon) · TPP 20,160 on the FP8 basis · estimated specification · UnassessedMI300X (AMD) · TPP 20,919 on the INT8 basis · RestrictedMI325X (AMD) · TPP 20,919 on the FP8 basis · Case-by-Case ReviewB100 (NVIDIA) · TPP 28,000 on the FP16 basis · RestrictedGaudi 3 (Intel) · TPP 29,360 on the BF16 basis · RestrictedB200 (NVIDIA) · TPP 36,000 on the FP16 basis · RestrictedGoogle TPU v7 (Ironwood) (Google) · TPP 36,912 on the FP8 basis · UnassessedMI350X (AMD) · TPP 36,954 on the FP16 basis · RestrictedAMD Instinct MI355X (AMD) · TPP 40,266 on the FP16 basis · RestrictedNVIDIA B300 (NVIDIA) · TPP 60,000 on the FP4 basis · RestrictedNVIDIA Rubin GPU (NVIDIA) · TPP 140,000 on the FP8 basis · estimated specification · RestrictedAMD Instinct MI400 (AMD) · TPP 160,000 on the FP8 basis · estimated specification · Restricted
Threshold: TPP 4,800
At the 3A090.a.1 threshold.
27 of 31

Accelerators with a calculable TPP meet or exceed this threshold.

11

Accelerators above the threshold with a recorded China status other than “Restricted” (ringed) — Blackhole p150 (unassessed), Ascend 910B (domestic (china)), TPU v5p (unassessed), Ascend 910C (domestic (china)), B30A (designed compliant), Ascend 920 (domestic (china)) and 5 more.

±

Nearest below the line: TPU v4 at TPP 4,400 (8.3% below the parameter). Nearest above: A100 SXM at TPP 4,992 (4% above the parameter).

TPP uses dense throughput at each chip’s highest published basis under ECCN 3A090 (88 FR 73458); the default threshold is 4,800. Board totals and peaks without a verified dense basis are excluded.

TPP could not be calculated for Gaudi 2, Cerebras WSE-3, Tenstorrent Wormhole n300, Huawei Ascend 910D from the available specifications. ECCN 3A090.a.2 also covers TPP ≥ 1,600 with performance density ≥ 5.92. This calculation requires applicable die area, which is unavailable in this dataset. Chips below 4,800 TPP may therefore still meet that criterion.

Accelerator specifications and export status

35 accelerators · 12 have estimated specifications
35 of 35 accelerators
MemoryProcess
NVIDIA Rubin GPUNVIDIA4,00022,000288 GB HBM4—Restricted
AMD Instinct MI355XAMD2,516.68,000288 GB HBM3ETSMC N3P + N6Restricted
MI350XAMD2,309.68,000288 GB HBM3ETSMC N3P + N6Restricted
B200NVIDIA2,2508,000192 GB HBM3ETSMC 4NPRestricted
Gaudi 3Intel1,8353,700128 GB HBM2eTSMC 5nmRestricted
B100NVIDIA1,7508,000192 GB HBM3ETSMC 4NPRestricted
MI300XAMD1,307.45,300192 GB HBM3TSMC 5nm/6nmRestricted
H100 SXM5NVIDIA989.53,35080 GB HBM3TSMC 4NRestricted
H800 SXM5 variantNVIDIA989.5—80 GB HBM3TSMC 4NRestricted
H100 NVLNVIDIA835.53,93894 GB HBM3TSMC 4NRestricted
H100 PCIeNVIDIA7562,00080 GB HBM2eTSMC 4NRestricted
H800 PCIe variantNVIDIA7562,00080 GB HBM2eTSMC 4NRestricted
A100 SXMNVIDIA3122,03980 GB HBM2eTSMC 7nmRestricted
A800 variantNVIDIA3122,03980 GB HBM2eTSMC 7nmRestricted
AMD Instinct MI400AMD—19,600432 GB HBM4—Restricted
Gaudi 2Intel—2,45096 GB HBM2eTSMC 7nmRestricted
NVIDIA B300NVIDIA—8,000288 GB HBM3ETSMC N4Restricted
MI325XAMD1,307.46,000256 GB HBM3ETSMC 5nm/6nmCase-by-Case Review
H200 SXMNVIDIA989.54,800141 GB HBM3ETSMC 4NCase-by-Case Review
H20 SXM variantNVIDIA1484,00096 GB HBM3TSMC 4NCase-by-Case Review
B30A variantNVIDIA——144 GB HBM3ETSMC (node unconfirmed)Designed Compliant
Huawei Ascend 920Huawei9004,000—SMIC N+3 (6nm-class)Domestic (China)
Huawei Ascend 910CHuawei7803,200128 GB HBMSMIC N+2 (~7nm class, 2nd-gen)Domestic (China)
Ascend 910BHuawei3751,60064 GB HBM2eSMIC N+2 (~7nm class, 2nd-gen)Domestic (China)
Huawei Ascend 910DHuawei———5nmDomestic (China)
Google TPU v6e (Trillium)Google9181,63832 GB HBM—Unassessed
Google TPU v5pGoogle4592,57595 GB HBM2e—Unassessed
Google TPU v4Google2751,20032 GB HBM27nmUnassessed
TPU v5eGoogle19781916 GB HBM2e—Unassessed
H20E (HBM3E refresh) variantNVIDIA148—144 GB HBM3ETSMC 4NUnassessed
AWS Trainium3Amazon—4,900144 GB HBM3ETSMC N3Unassessed
Cerebras WSE-3Cerebras—21,000,000 †44 GB On-chip SRAMTSMC 5nmUnassessed
Google TPU v7 (Ironwood)Google—7,370192 GB HBM3E—Unassessed
FP16 dense—
FP16 sparse—
BF16 dense—
TF32 dense—
TF32 sparse—
FP8 dense4,614 TFLOPS
FP8 sparse—
FP4 dense—
FP4 sparse—
INT8—
Memory192 GB HBM3E
Memory bandwidth7,370 GB/s
Interconnect bandwidth—
Thermal design power—
Process node—
ArchitectureIronwood
Compliance variant of—
Total Processing Performance36,912 (FP8 × bit-length; ≈7.69× the 3A090.a parameter)
Regulatory basis

Offered through Google Cloud. The cited product announcement does not establish its China export classification.

Conditions

None recorded.

Source

Primary source Google Cloud blog (Ironwood: the age of inference) — open

Notes

Google’s announcement describes a pod of 9,216 chips with 42.5 exaFLOPS FP8 throughput. Per-chip wattage is not given in the cited announcement. A previously recorded 960 W figure was removed because it lacked source support.

Recorded deployments

This accelerator is not named in the GPU inventories held for 9 facilities.

Country access

Not covered in the 26 country access profiles. Browse country coverage.

Tenstorrent Blackhole p150Tenstorrent—51232 GB GDDR6—Unassessed
Tenstorrent Wormhole n300Tenstorrent131 †576 †24 GB GDDR6—Unassessed

†Values marked † are excluded from the per-chip ranking.

Chip families and compliance variants

NVIDIA AmpereNVIDIAA100 SXM → A800: Interconnect 600→400 GB/s1A100 SXM (NVIDIA) · Restricted · 312 TFLOPS dense · newly restricted by the October 2022 Advanced Computing RuleA100 SXMrestricted2022A800 (NVIDIA) · Restricted · 312 TFLOPS dense · newly restricted by the October 2023 Advanced Computing UpdateA800restricted2023NVIDIA HopperNVIDIAH100 SXM5 → H100 PCIe: Mem BW 3,350→2,000 GB/s; HBM3→HBM2e; FP16 989.5→756 TFLOPS2H100 PCIe → H100 NVL: Mem BW 2,000→3,938 GB/s; Mem 80→94 GB; HBM2e→HBM3; FP16 756→835.5 TFLOPS3H100 NVL → H800 SXM5: Interconnect 600→400 GB/s; Mem 94→80 GB; FP16 835.5→989.5 TFLOPS; estimated specifications4H800 SXM5 → H800 PCIe: HBM3→HBM2e; FP16 989.5→756 TFLOPS5H800 PCIe → H200 SXM: Interconnect 400→900 GB/s; Mem BW 2,000→4,800 GB/s; Mem 80→141 GB; HBM2e→HBM3E; FP16 756→989.5 TFLOPS; Restricted → Case-by-Case Review6H200 SXM → H20 SXM: Mem BW 4,800→4,000 GB/s; Mem 141→96 GB; HBM3E→HBM3; FP16 989.5→148 TFLOPS; estimated specifications7H20 SXM → H20E (HBM3E refresh): Mem 96→144 GB; HBM3→HBM3E; Case-by-Case Review → Unassessed8H800 SXM5 is a compliance variant of H100 SXM5H800 PCIe is a compliance variant of H100 PCIeH20 SXM is a compliance variant of H100 SXM5H20E (HBM3E refresh) is a compliance variant of H100 SXM5H100 SXM5 (NVIDIA) · Restricted · 989.5 TFLOPS dense · newly restricted by the October 2022 Advanced Computing RuleH100 SXM5restricted2022H100 PCIe (NVIDIA) · Restricted · 756 TFLOPS denseH100 PCIeH100 NVL (NVIDIA) · Restricted · 835.5 TFLOPS denseH100 NVLH800 SXM5 (NVIDIA) · Restricted · 989.5 TFLOPS dense · newly restricted by the October 2023 Advanced Computing UpdateH800 SXM5restricted2023H800 PCIe (NVIDIA) · Restricted · 756 TFLOPS dense · newly restricted by the October 2023 Advanced Computing UpdateH800 PCIerestricted2023H200 SXM (NVIDIA) · Case-by-Case Review · 989.5 TFLOPS denseH200 SXMH20 SXM (NVIDIA) · Case-by-Case Review · 148 TFLOPS dense · newly restricted by the April 2025 H20 License RequirementH20 SXMrestricted2025H20E (HBM3E refresh) (NVIDIA) · Unassessed · 148 TFLOPS denseH20ENVIDIA BlackwellNVIDIAB100 → B200: FP16 1750→2250 TFLOPS9B200 → NVIDIA B300: Mem 192→288 GB10NVIDIA B300 → B30A: Mem 288→144 GB; estimated specifications; Restricted → Designed Compliant11B30A is a compliance variant of B200B100 (NVIDIA) · Restricted · 1,750 TFLOPS denseB100B200 (NVIDIA) · Restricted · 2,250 TFLOPS denseB200NVIDIA B300 (NVIDIA) · Restricted · no dense FP16/BF16 figure publishedB300B30A (NVIDIA) · Designed Compliant · no dense FP16/BF16 figure publishedB30ANVIDIA RubinNVIDIANVIDIA Rubin GPU (NVIDIA) · Restricted · 4,000 TFLOPS denseRubin GPUAMD InstinctAMDMI300X → MI325X: Mem BW 5,300→6,000 GB/s; Mem 192→256 GB; HBM3→HBM3E; Restricted → Case-by-Case Review12MI325X → MI350X: Mem BW 6,000→8,000 GB/s; Mem 256→288 GB; FP16 1307.4→2309.6 TFLOPS; Case-by-Case Review → Restricted13MI350X → AMD Instinct MI355X: FP16 2309.6→2516.6 TFLOPS14AMD Instinct MI355X → AMD Instinct MI400: Mem BW 8,000→19,600 GB/s; Mem 288→432 GB; HBM3E→HBM4; estimated specifications15MI300X (AMD) · Restricted · 1,307.4 TFLOPS denseMI300XMI325X (AMD) · Case-by-Case Review · 1,307.4 TFLOPS denseMI325XMI350X (AMD) · Restricted · 2,309.6 TFLOPS denseMI350XAMD Instinct MI355X (AMD) · Restricted · 2,516.6 TFLOPS denseMI355XAMD Instinct MI400 (AMD) · Restricted · no dense FP16/BF16 figure publishedMI400Huawei AscendHuaweiAscend 910B → Huawei Ascend 910C: Mem BW 1,600→3,200 GB/s; Mem 64→128 GB; HBM2e→HBM16Huawei Ascend 910C → Huawei Ascend 910D: No change in the compared fields17Huawei Ascend 910D → Huawei Ascend 920: No change in the compared fields18Ascend 910B (Huawei) · Domestic (China) · 375 TFLOPS denseAscend 910BHuawei Ascend 910C (Huawei) · Domestic (China) · 780 TFLOPS denseAscend 910CHuawei Ascend 910D (Huawei) · Domestic (China) · no dense FP16/BF16 figure publishedAscend 910DHuawei Ascend 920 (Huawei) · Domestic (China) · 900 TFLOPS denseAscend 920Intel GaudiIntelGaudi 2 → Gaudi 3: Mem BW 2,450→3,700 GB/s; Mem 96→128 GB19Gaudi 2 (Intel) · Restricted · no dense FP16/BF16 figure publishedGaudi 2Gaudi 3 (Intel) · Restricted · 1,835 TFLOPS denseGaudi 3Google TPUGoogleGoogle TPU v4 → TPU v5e: Mem BW 1,200→819 GB/s; Mem 32→16 GB; HBM2→HBM2e20TPU v5e → Google TPU v5p: Mem BW 819→2,575 GB/s; Mem 16→95 GB21Google TPU v5p → Google TPU v6e (Trillium): Interconnect 1200→800 GB/s; Mem BW 2,575→1,638 GB/s; Mem 95→32 GB; HBM2e→HBM22Google TPU v6e (Trillium) → Google TPU v7 (Ironwood): Mem BW 1,638→7,370 GB/s; Mem 32→192 GB; HBM→HBM3E23Google TPU v4 (Google) · Unassessed · 275 TFLOPS denseTPU v4TPU v5e (Google) · Unassessed · 197 TFLOPS denseTPU v5eGoogle TPU v5p (Google) · Unassessed · 459 TFLOPS denseTPU v5pGoogle TPU v6e (Trillium) (Google) · Unassessed · 918 TFLOPS denseTPU v6eGoogle TPU v7 (Ironwood) (Google) · Unassessed · no dense FP16/BF16 figure publishedTPU v7AWS TrainiumAmazonAWS Trainium3 (Amazon) · Unassessed · no dense FP16/BF16 figure publishedAWSTrainium3CerebrasWafer-Scale EngineCerebrasCerebras WSE-3 (Cerebras) · Unassessed · no dense FP16/BF16 figure publishedCerebrasWSE-3TenstorrentTenstorrentTenstorrent Wormhole n300 → Tenstorrent Blackhole p150: Mem BW 576→512 GB/s; Mem 24→32 GB24Tenstorrent Wormhole n300 (Tenstorrent) · Unassessed · 131 TFLOPS denseWormholen300Tenstorrent Blackhole p150 (Tenstorrent) · Unassessed · no dense FP16/BF16 figure publishedBlackholep150

Comparison 1 · NVIDIA Ampere

FromA100 SXMRestricted
ToA800Restricted
Changed specifications
MeasureFromToUnit
Interconnect600400GB/s

The later model is recorded as a compliance variant of the earlier model.

11

Families tracked, 35 parts in all; the longest lane is NVIDIA Hopper with 8 models.

6

Compliance variants designed to meet export-control thresholds. Arcs connect variants to their parent chips across intervening models.

5

Adjacent model pairs with different recorded China export statuses.

6

Chips newly restricted by one of the listed actions; the year appears below each chip.

NVIDIA Ampere NVIDIA

  1. A100 SXM312 TFLOPS dense · Restricted · newly restricted 2022

  2. A800312 TFLOPS dense · Restricted · newly restricted 2023

NVIDIA Hopper NVIDIA

  1. H100 SXM5989.5 TFLOPS dense · Restricted · newly restricted 2022

  2. H100 PCIe756 TFLOPS dense · Restricted

  3. H100 NVL835.5 TFLOPS dense · Restricted

  4. H800 SXM5989.5 TFLOPS dense · Restricted · newly restricted 2023 · estimated specifications

  5. H800 PCIe756 TFLOPS dense · Restricted · newly restricted 2023

  6. H200 SXM989.5 TFLOPS dense · Case-by-Case Review

  7. H20 SXM148 TFLOPS dense · Case-by-Case Review · newly restricted 2025 · estimated specifications

  8. H20E (HBM3E refresh)148 TFLOPS dense · Unassessed · estimated specifications

NVIDIA Blackwell NVIDIA

  1. B1001,750 TFLOPS dense · Restricted

  2. B2002,250 TFLOPS dense · Restricted

  3. NVIDIA B300no dense FP16/BF16 figure published · Restricted

  4. B30Ano dense FP16/BF16 figure published · Designed Compliant · estimated specifications

NVIDIA Rubin NVIDIA

  1. NVIDIA Rubin GPU4,000 TFLOPS dense · Restricted · estimated specifications

AMD Instinct AMD

  1. MI300X1,307.4 TFLOPS dense · Restricted

  2. MI325X1,307.4 TFLOPS dense · Case-by-Case Review

  3. MI350X2,309.6 TFLOPS dense · Restricted

  4. AMD Instinct MI355X2,516.6 TFLOPS dense · Restricted

  5. AMD Instinct MI400no dense FP16/BF16 figure published · Restricted · estimated specifications

Huawei Ascend Huawei

  1. Ascend 910B375 TFLOPS dense · Domestic (China) · estimated specifications

  2. Huawei Ascend 910C780 TFLOPS dense · Domestic (China) · estimated specifications

  3. Huawei Ascend 910Dno dense FP16/BF16 figure published · Domestic (China) · estimated specifications

  4. Huawei Ascend 920900 TFLOPS dense · Domestic (China) · estimated specifications

Intel Gaudi Intel

  1. Gaudi 2no dense FP16/BF16 figure published · Restricted · estimated specifications

  2. Gaudi 31,835 TFLOPS dense · Restricted

Google TPU Google

  1. Google TPU v4275 TFLOPS dense · Unassessed

  2. TPU v5e197 TFLOPS dense · Unassessed

  3. Google TPU v5p459 TFLOPS dense · Unassessed

  4. Google TPU v6e (Trillium)918 TFLOPS dense · Unassessed

  5. Google TPU v7 (Ironwood)no dense FP16/BF16 figure published · Unassessed

AWS Trainium Amazon

  1. AWS Trainium3no dense FP16/BF16 figure published · Unassessed · estimated specifications

Cerebras Wafer-Scale Engine Cerebras

  1. Cerebras WSE-3no dense FP16/BF16 figure published · Unassessed · wafer-scale figures

Tenstorrent Tenstorrent

  1. Tenstorrent Wormhole n300131 TFLOPS dense · Unassessed · two-chip board totals

  2. Tenstorrent Blackhole p150no dense FP16/BF16 figure published · Unassessed

Each row groups a chip family in catalog order; spacing does not represent elapsed time. Numbered controls select adjacent-model comparisons; individual chip names open their full specifications. Arrows identify recorded compliance variants.

Control rules and policy changes

  1. 2022-10-21October 2022 Advanced Computing Rule87 FR 62186

    Compute performance (TFLOPS) and interconnect bandwidth

    ECCN 3A090 combined an aggregate bidirectional transfer rate of at least 600 GB/s to or from other ICs, excluding volatile memories, with compute criteria equivalent to at least 4,800 bits × TOPS. Both bandwidth and compute conditions had to be met.

    Oct 2022 interconnect threshold (600 GB/s) — 600 GB/s

    Newly restricted: A100 SXM, H100 SXM5.

  2. 2023-11-17October 2023 Advanced Computing Update88 FR 73458

    Total Processing Performance (TPP): 2 × MacTOPS × bit-length, summed across processing units

    Introduced the TPP metric — dense throughput × bit-length of the operation, evaluated at the highest value across supported bit-lengths, dense matrices only. Closed the A800/H800 interconnect-reduction loophole. Also broadened end-use controls. 3A090.a also has a second leg (TPP ≥ 1,600 with performance density ≥ 5.92) that requires applicable die area, which no record here publishes.

    ECCN 3A090.a — 4,800 TPP (2 × MacTOPS × bit-length; verified against 88 FR 73458 and the current CCL)

    Newly restricted: A800, H800 SXM5, H800 PCIe.

  3. 2024-12-02December 2024 Expansion89 FR 96790

    HBM memory bandwidth density

    Added ECCN 3A090.c for HBM above 2 GB/s/mm² of memory bandwidth density, calculated from package or stack bandwidth and area. Certain co-packaged HBM-and-logic ICs whose dominant function is processing are excluded. The rule took effect December 2; compliance with the HBM provisions began December 31, 2024.

    No newly restricted chips are recorded here for this action.

  4. 2025-04-09April 2025 H20 License RequirementNVIDIA Form 8-K

    No new threshold metric. License-required determination on the previously-compliant-by-design H20.

    NVIDIA reported an April 9 government notice requiring licenses for H20 and other ICs meeting specified H20 bandwidth characteristics. It covered exports to China, including Hong Kong and Macau, D:5 countries, and companies headquartered or with an ultimate parent there. NVIDIA disclosed the notice on April 15.

    Newly restricted: H20 SXM.

  5. 2025-07-14July 2025 H20 Licensing AnnouncementNVIDIA announcementNVIDIA August 2025 filing

    Announcement of expected licensing; no technical threshold change.

    NVIDIA announced assurances that licenses would be granted. Its August 2025 filing later confirmed licenses for selected H20 customers, and described a 15% revenue-share expectation from U.S. officials with no codifying regulation at that time.

    No newly restricted chips are recorded here for this action.

  6. 2026-01-15January 2026 License Review Policy Revision91 FR 1684

    Conditional case-by-case licensing pathway for H200-class chips.

    Provides case-by-case review for qualifying US exports to China or Macau below 21,000 TPP and 6,500 GB/s total DRAM bandwidth. H200 and MI325X are examples. Approval depends on the rule’s supply, aggregate-TPP, end-use, security and testing conditions.

    No newly restricted chips are recorded here for this action.

Changes within each family

NVIDIA Ampere NVIDIA
A800 reduced A100 interconnect bandwidth while retaining its compute throughput. The October 2023 revision removed interconnect bandwidth as a control parameter and restricted A800.
NVIDIA Hopper NVIDIA
H800 reduced interconnect bandwidth; H20 instead reduced compute while retaining substantial memory and interconnect bandwidth. The policy history includes restrictions on H800, a separate H20 licensing requirement and conditional case-by-case review for H200. Model details distinguish these actions and their dates.
NVIDIA Blackwell NVIDIA
B100 and B200 differ in power and throughput. B300 Blackwell Ultra raises dense FP4 throughput and memory capacity; B30A was reported as a proposed single-die variant for China, with specifications that remain estimates.
NVIDIA Rubin NVIDIA
Rubin GPU preliminary individual-GPU specifications: 35 PFLOPS dense NVFP4 training, 17.5 PFLOPS dense FP8/FP6 training, 4 PFLOPS dense FP16/BF16, 288 GB HBM4 at 22 TB/s, and 3.6 TB/s NVLink. NVIDIA marks the figures as up to and subject to change.
AMD Instinct AMD
MI325X expands memory relative to MI300X. The CDNA 4 MI350X and MI355X differ in cooling and throughput: MI350X is air-cooled, MI355X liquid-cooled. Their datasheets distinguish dense from sparse performance; the table uses dense values. MI400 specifications remain estimates from AMD’s June 2025 announcement.
Huawei Ascend Huawei
The 910B entry represents CSET’s 910B2 variant. The 910C estimate differs from Epoch AI’s reported throughput; 910D lacks numerical compute specifications here. The cited 920 report describes a projected launch. These differences in evidence limit comparisons across the family.
Intel Gaudi Intel
Gaudi 2 and Gaudi 3 use Ethernet interconnects. Gaudi 3 combines TSMC N5 compute dies with Intel EMIB packaging. Its OAM and PCIe variants have different power ratings; this table represents the OAM variant.
Google TPU Google
TPU v5e targets efficiency; v5p expands memory and interconnect bandwidth for training. Trillium and Ironwood increase compute throughput, with Ironwood reported at FP8. TPU v4’s recorded power is a measured mean; per-chip power is unavailable here for Ironwood.
AWS Trainium Amazon
Trainium3 powers EC2 Trn3 UltraServers, which AWS announced as generally available in December 2025. Access is offered through AWS services. Per-chip power is not supplied in the cited announcement.
Cerebras Wafer-Scale Engine Cerebras
WSE-3 uses wafer-scale integration and on-wafer SRAM. Its wafer-wide compute and bandwidth figures require separate treatment from per-GPU specifications.
Tenstorrent Tenstorrent
Wormhole n300 is a dual-ASIC PCIe card. Blackhole p150 uses the second-generation Tensix architecture with Ethernet scale-out. Its published compute figure uses BLOCKFP8; no dense FP16/BF16 figure is held here.

How a chip is classified

Under the October 2023 Advanced Computing Update, TPP is 2 × MacTOPS × bit-length, summed across processing units (88 FR 73458). For dense FP16, this is 16 times the published TFLOPS. The calculation uses the highest TPP available across each chip’s published bit-lengths, and each result is compared with the ECCN 3A090.a threshold of 4,800. Licensing also depends on the transaction and the other applicable controls.

9 of the 35 accelerators have no dense FP16/BF16 specification in this dataset; other published precisions can still support a TPP calculation. TPP cannot be evaluated for 4 chips, which publish no dense per-IC figure.

6 accelerators are offered through Google Cloud or AWS, and the cited product documentation classifies none of them for China export. 4 have a dense-FP16/BF16-based TPP above the H20 SXM’s 2,368, the lowest such reading among chips newly restricted by the actions listed here.

For restrictions on semiconductor manufacturing equipment, see supply-chain chokepoints.